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484 result(s) for "global internet use"
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The Internet of Elsewhere
Through the lens of culture,The Internet of Elsewherelooks at the role of the Internet as a catalyst in transforming communications, politics, and economics. Cyrus Farivar explores the Internet's history and effects in four distinct and, to some, surprising societies-Iran, Estonia, South Korea, and Senegal. He profiles Web pioneers in these countries and, at the same time, surveys the environments in which they each work. After all, contends Farivar, despite California's great success in creating the Internet and spawning companies like Apple and Google, in some areas the United States is still years behind other nations. Surprised?You won't be for long as Farivar proves there are reasons that: Skype was invented in Estonia-the same country that developed a digital ID system and e-voting;Iran was the first country in the world to arrest a blogger, in 2003;South Korea is the most wired country on the planet, with faster and less expensive broadband than anywhere in the United States;Senegal may be one of sub-Saharan Africa's best chances for greater Internet access.The Internet of Elsewherebrings forth a new complex and modern understanding of how the Internet spreads globally, with both good and bad effects.
Factors associated with problematic internet use among a large sample of Lebanese adolescents
Background International literature clearly describes factors associated with problematic internet use, including substance dependence, online gambling, social impairment, and functional difficulties. Therefore, it was imperative to assess the extent to which young adolescents in Lebanese schools are affected by problematic internet use (PIU) and the factors associated with it. This large-scale Lebanese survey aims to evaluate the relationship between PIU, depression, and substance use, including alcohol consumption and nicotine use (cigarettes and waterpipe) among adolescents in Lebanese schools. Methods This cross-sectional study conducted between January and May 2019 assessed internet use through the Internet Addiction Test (IAT), with ‘severe internet use’ being the threshold for problematic internet use. It enrolled a total of 1810 adolescents aged 14 to 17 from 16 schools from all Lebanese Mohafazat. Results The majority of the participants had an average internet use 74.8% (95% Confidence Interval (CI): 0.72–0.76), 20.7% (95% CI: 0.18–0.22) had a frequent internet use, and 4.5% (95% CI: 0.03–0.05) had a severe internet use. Higher alcohol dependence (ß = 0.456, p  < 0.001), higher depression (ß = 0.079, p  = 0.001), and having separated parents vs. living together (ß = 0.136, p  < 0.001) were significantly associated with higher IAT scores. Higher waterpipe dependence (ß = -0.218, p  < 0.001) was significantly associated with lower IAT scores. Conclusion This study, the first and largest of its kind in the Middle East, showed that some psychiatric disorders, such as depression and substance use (smoking and alcohol), are associated with more problematic internet use among Lebanese adolescents. These results could serve as the first step for policymakers towards implementing early awareness campaigns to look at this problem more in-depth and come up with efficient actions to avoid it.
A Randomized Trial of Hydroxychloroquine as Postexposure Prophylaxis for Covid-19
In this double-blind, randomized trial, 821 asymptomatic persons with a high-risk or moderate-risk exposure to SARS-CoV-2 were assigned to receive hydroxychloroquine or placebo within 4 days after the exposure. No benefit in preventing illness compatible with Covid-19 was found.
Internet use and pro-environmental behavior: Evidence from China
Solving environmental problems relies upon cultivating pro-environmental behavior in the society. While the internet has been widely used to facilitate information transmission and communication, it’s important to understand its function in promoting pro-environmental behavior. Using the data from the China General Social Survey 2013, the relationship between the use of internet and the individual’s pro-environmental behavior is investigated, and overall positive effects are found. The results show that, the influence of internet use is more pronounced on the private pro-environmental behavior when further dividing pro-environmental behavior into private and public types. Moreover, the positive effect of internet use on pro-environmental behavior is more pronounced among low-income and female groups, compared to middle to high income and male counterparts, respectively, when considering the heterogeneity across different groups of individuals. We further explore the plausible channels of providing information, encouraging participation in pro-environmental campaigns and improving social relationships through which internet use facilitates pro-environmental behavior.
Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping
The multi-decadal Landsat data record is a unique tool for global land cover and land use change analysis. However, the large volume of the Landsat image archive and inconsistent coverage of clear-sky observations hamper land cover monitoring at large geographic extent. Here, we present a consistently processed and temporally aggregated Landsat Analysis Ready Data produced by the Global Land Analysis and Discovery team at the University of Maryland (GLAD ARD) suitable for national to global empirical land cover mapping and change detection. The GLAD ARD represent a 16-day time-series of tiled Landsat normalized surface reflectance from 1997 to present, updated annually, and designed for land cover monitoring at global to local scales. A set of tools for multi-temporal data processing and characterization using machine learning provided with GLAD ARD serves as an end-to-end solution for Landsat-based natural resource assessment and monitoring. The GLAD ARD data and tools have been implemented at the national, regional, and global extent for water, forest, and crop mapping. The GLAD ARD data and tools are available at the GLAD website for free access.
Smartphone addiction and its associated factors among freshmen medical students in China: a cross-sectional study
Background With smartphone use widespread worldwide, smartphone addiction is an emerging epidemic. This study aims to investigate the prevalence of smartphone addiction among freshmen medical students and to explore its association with personal factors, mental health, and professional identity. Methods This cross-sectional study was conducted from October 10th to November 10th, 2020 and included 2,182 first-year college students at Wannan Medical College, China. The smartphone addiction test, professional identity, and a 12-item general health questionnaire were used for this cross-sectional survey. Pearson’s correlation coefficient (r) was employed to examine the correlations between smartphone addiction and mental health and professional identity. Binary logistic regression analysis was carried out to assess the factors influencing smartphone addiction. Of the 2,182 students, 866 (39.7%) were identified as having smartphone addiction. The logistic regression analysis shows that four factors (professional identity scale, poor mental health, smartphone use before sleep, and perceived study pressure) were significantly associated with smartphone addiction. Conclusions This cross-sectional study suggests that smartphone addiction is common among Chinese freshmen medical students. Smartphone addiction was common among the freshmen medical students surveyed. The findings imply that promotional programs, aimed at enhancing mental health and professional identity among freshmen medical students, help to reduce smartphone addiction in this population.
Spatiotemporal effect of internet use on life expectancy: cross-country insight from a geographically and temporally weighted analysis
Internet use has become an important factor affecting health. The spatio-temporal heterogeneity of the influence of internet utilization on life expectancy has not been thoroughly investigated on a global scale. The spatial clustering patterns that influence of internet usage on residents’ health levels have not yet been detected. The Geographically and Temporally Weighted Regression (GTWR) model is used to examine the spatio-temporal variation of the associations between internet use and life expectancy in 182 countries from 1990 to 2020. K-mean is employed to reveal the spatial clustering patterns exhibited by GTWR fitting coefficients. The results demonstrate that internet use significantly and positively impacts life expectancy globally based on GTWR fitting coefficients. Meanwhile, the influence of internet use on life expectancy demonstrates spatio-temporal heterogeneity and non-stationarity. Furthermore, six distinctive spatial clusters are revealed utilizing the GTWR fitting coefficients as a foundation. Spatial cluster 1 is the region where internet use has the least health-promoting effect, whereas spatial cluster 6 is the region where internet use has the greatest health-promoting effect. Our findings offer novel insights into the spatio-temporal heterogeneity relationship and non-stationarity between internet use and life expectancy while providing empirical evidence to support the implementation of region-specific internet policies aimed at enhancing health outcomes.
Gaming disorder and psychological distress among Iranian adolescents: the mediating role of sleep hygiene
Background Evidence on psychological outcomes of gaming disorder (GD) is still scarce. This study aimed to investigate the mediating role of sleep hygiene in the relationship between GD and psychological distress (depression and anxiety) among Iranian adolescents. Methods This was a cross-sectional study among school students in Qazvin city, Iran. We administered GD, anxiety, and depression questionnaires in a paper-and-pencil format. GD was measured using the GD S4-SF scale, and anxiety and depression were evaluated using the DASS-21. We assessed sleep health as a mediator using the Sleep Hygiene Behaviors scale. Covariance-Based Structural Equation Modeling (CB-SEM) was employed for data analysis, accounting for sex and physical activity as the main confounders. Statistical significance was determined using various fit indices and confidence intervals. Results The sample consisted of 600 adolescents (41% female). CB-SEM revealed a positive but not statistically significant association between GD and depression, along with a negative statistically significant association with anxiety. Notably, sleep hygiene was identified as a partial mediator in the relationship between GD and depression, indicating that poor sleep practices may exacerbate depressive symptoms among adolescents with GD. However, no mediating effect was observed for anxiety. Conclusion Our data supported a mediating role for sleep hygiene in the association between GD and depression among participants. Our results highlight the critical need for targeted policy interventions to improve sleep hygiene among adolescents with GD.
The effect of internet addiction and smartphone addiction on sleep quality among Turkish adolescents
Background: Sleep quality plays a principal role in the protection of health. There is an increasing number of studies in the literature demonstrating that internet addiction and smartphone addiction impair sleep quality. However, the number of studies on Turkish adolescents is very limited. Therefore, this study examined the effects of internet addiction and smartphone addiction on sleep quality among Turkish adolescents. Methods: Participants in this cross-sectional study were 910 adolescents aged 13–18 years. Data were collected with the Short Internet Addiction Test, Smartphone Addiction Scale, and Pittsburgh Sleep Quality Index. In addition, a questionnaire was used to gather information about the demographic, socioeconomic, and health-related characteristics. Pearson’s Chi-square test, Chi-square test for trend, Mann–Whitney U test, logistic regression analysis, and Spearman’s correlation analysis were used in the analysis. Results: The sleep quality of 58.7% of the adolescents was poor. Additionally, girls and adolescents ≥16 years old had poor sleep quality. Sleep quality deteriorated as perceived health status and perceived economic status of family deteriorated. Compared to participants with normal internet addiction scores, poor sleep quality was 1.83 (95% CI [1.22–2.74]) times higher in those with problematic internet addiction and 1.99 (95% CI [1.23–3.87]) times higher in those with pathological internet addiction. One point increase in Smartphone Addiction Scale total score increased poor sleep quality 1.01 (95% CI [1.00–1.02]) times. Sleep quality scale were positively correlated with the smartphone addiction and internet addiction. However, there was no positive correlation between habitual sleep efficiency subcomponent of sleep quality and smartphone addiction and internet addiction. Conclusions: Internet addiction and smartphone addiction were associated with poor sleep quality in adolescents. Older adolescents (≥16 years), gender (female), poor health perception, and perception of moderate economic status of the family were other factors associated with poor sleep quality.
Problematic social media use and psychological symptoms in adolescents
Purpose This study examined time trends in significant child and adolescent psychological symptoms and explored the association of frequent and problematic social media use with these symptoms. Methods Time trends in psychological symptoms were assessed using data from five waves of the international survey of Health Behavior in School-aged Children (HBSC), conducted between 2001 and 2018 (N = 1,036,869). The associations of frequent and problematic social media use with significant psychological symptoms were assessed by hierarchical multinomial logistic regression using data from 2001–2002 and the 2017–2018 survey waves. The direction of effect between social media use variables and psychological symptoms was explored using Linear Non-Gaussian Acyclic Models (LiNGAM). Results Prevalence of more severe psychological symptoms increased from 6.7% in 2001–2002 to 10.4% in the 2017–2018 survey waves. The increase was especially large among 15-year old and older girls: from 10.9 to 19.1%. The higher prevalence of more severe psychological symptoms in 2017–2018 compared with 2001–2002 was eliminated after adjusting the model for problematic social media use. LiNGAM analysis supported the direction of effect going from social media use and problematic social media use to psychological symptoms. Conclusions The findings suggest that frequent and problematic use of social media contribute to the increasing trend of psychological symptoms in adolescents in recent years.